- Tytuł:
- Neural networks as a tool for georadar data processing
- Autorzy:
-
Szymczyk, P.
Tomecka-Suchoń, S.
Szymczyk, M. - Powiązania:
- https://bibliotekanauki.pl/articles/330009.pdf
- Data publikacji:
- 2015
- Wydawca:
- Uniwersytet Zielonogórski. Oficyna Wydawnicza
- Tematy:
-
neural network
artificial neural network
ground penetrating radar
geological structure
sinkhole
sieć neuronowa
sztuczna sieć neuronowa
georadar
penetracja gruntu
budowa geologiczna
zapadlisko górnicze - Opis:
- In this article a new neural network based method for automatic classification of ground penetrating radar (GPR) traces is proposed. The presented approach is based on a new representation of GPR signals by polynomials approximation. The coefficients of the polynomial (the feature vector) are neural network inputs for automatic classification of a special kind of geologic structure—a sinkhole. The analysis and results show that the classifier can effectively distinguish sinkholes from other geologic structures.
- Źródło:
-
International Journal of Applied Mathematics and Computer Science; 2015, 25, 4; 955-960
1641-876X
2083-8492 - Pojawia się w:
- International Journal of Applied Mathematics and Computer Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł